Future Internet2013, 5(4), 585-590; doi:10.3390/fi5040585 - published online 26 November 2013 Show/Hide Abstract
Abstract: The progressive consolidation of information technologies on a large scale has been facilitating and progressively increasing the production, collection, and diffusion of geographic data, as well as facilitating the integration of a large amount of external information into geographic information systems (GIS). Traditional GIS is transforming into a consolidated information infrastructure. This consolidated infrastructure is affecting more and more aspects of internet computing and services. Most popular systems (such as social networks, GPS, and decision support systems) involve complex GIS and significant amounts of information. As a web service, GIS is affected by exactly the same problems that affect the web as a whole. Therefore, next generation GIS solutions have to address further methodological and data engineering challenges in order to accommodate new applications’ extended requirements (in terms of scale, interoperability, and complexity). The conceptual and semantic modeling of GIS, as well as the integration of semantics into current GIS, provide highly expressive environments that are capable of meeting the needs and requirements of a wide range of applications.
Future Internet2013, 5(4), 580-584; doi:10.3390/fi5040580 - published online 26 November 2013 Show/Hide Abstract
Abstract: The purpose of this special issue is to explore social inequalities in the digital environment. The motivation for this issue is derived from the disproportionate focus on technological and economic aspects of the Information Society to the detriment of sociological and cultural aspects. The research presented here falls along three dimensions of inequality. Two papers explore the ways that race orders interaction online. A second pair of papers explores the experiences of technology users with physical and mental disabilities. A final paper looks at gender, and the higher rates of intimate partner violence experienced by women online. Taken as a whole, these five papers highlight some of the ways that the digital environment can reproduce or mitigate inequalities that have been molded and routinized in the physical environment.
Future Internet2013, 5(4), 568-579; doi:10.3390/fi5040568 - published online 13 November 2013 Show/Hide Abstract
Abstract: Although recent research suggests that the selective nature of new media helps foster issue specialists, little empirical evidence has been documented, mostly due to theoretical and methodological limitations. Extending the concept of issue publics, the present study proposes a method to estimate the degree to which an individual is a specialist- or a generalist-type citizen. Applying the method to the 2008 American National Election Studies data, the study reveals various characteristics of specialists and generalists. The results indicate that specialist-type citizens are positively associated with online news use, but negatively associated with conventional news media, such as television, newspaper, and radio. The implications of the growth of specialists as well as the validity of the proposed method are discussed.
Future Internet2013, 5(4), 535-567; doi:10.3390/fi5040535 - published online 31 October 2013 Show/Hide Abstract
Abstract: This paper reports on the design of an OPNET simulation platform to test the performance of sending real-time safety video over VANET (Vehicular Adhoc NETwork) using the WiMAX technology. To provide a more realistic environment for streaming real-time video, a video model was created based on the study of video traffic traces captured from a realistic vehicular camera, and different design considerations were taken into account. A practical controller over real-time streaming protocol is implemented to control data traffic congestion for future road safety development. Our driving video model was then integrated with the WiMAX OPNET model along with a mobility model based on real road maps. Using this simulation platform, different mobility cases have been studied and the performance evaluated in terms of end-to-end delay, jitter and visual experience.
Future Internet2013, 5(4), 515-534; doi:10.3390/fi5040515 - published online 16 October 2013 Show/Hide Abstract
Abstract: Emergency rescues require that first responders provide support to evacuate injured and other civilians who are obstructed by the hazards. In this case, the emergency personnel can take actions strategically in order to rescue people maximally, efficiently and quickly. The paper studies the effectiveness of a random neural network (RNN)-based task assignment algorithm involving optimally matching emergency personnel and injured civilians, so that the emergency personnel can aid trapped people to move towards evacuation exits in real-time. The evaluations are run on a decision support evacuation system using the Distributed Building Evacuation Simulator (DBES) multi-agent platform in various emergency scenarios. The simulation results indicate that the RNN-based task assignment algorithm provides a near-optimal solution to resource allocation problems, which avoids resource wastage and improves the efficiency of the emergency rescue process.
Future Internet2013, 5(4), 490-514; doi:10.3390/fi5040490 - published online 11 October 2013 Show/Hide Abstract
Abstract: Online collaboration and web-based knowledge sharing have gained momentum as major components of the Web 2.0 movement. Consequently, knowledge embedded in such platforms is no longer static and continuously evolves through experts’ micro-contributions. Traditional Information Retrieval and Social Network Analysis techniques take a document-centric approach to expertise modeling by creating a macro-perspective of knowledge embedded in large corpus of static documents. However, as knowledge in collaboration platforms changes dynamically, the traditional macro-perspective is insufficient for tracking the evolution of knowledge and expertise. Hence, Expertise Profiling is presented with major challenges in the context of dynamic and evolving knowledge. In our previous study, we proposed a comprehensive, domain-independent model for expertise profiling in the context of evolving knowledge. In this paper, we incorporate Language Modeling into our methodology to enhance the accuracy of resulting profiles. Evaluation results indicate a significant improvement in the accuracy of profiles generated by this approach. In addition, we present our profile visualization tool, Profile Explorer, which serves as a paradigm for exploring and analyzing time-dependent expertise profiles in knowledge-bases where content evolves overtime. Profile Explorer facilitates comparative analysis of evolving expertise, independent of the domain and the methodology used in creating profiles.